Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Practical parameterization of rotations using the exponential map
Journal of Graphics Tools
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
Learning to track 3D human motion from silhouettes
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Pedestrian Tracking with Shoe-Mounted Inertial Sensors
IEEE Computer Graphics and Applications
Development of a Tiny Orientation Estimation Device to Operate under Motion and Magnetic Disturbance
International Journal of Robotics Research
Integration of Vision and Inertial Sensors for 3D Arm Motion Tracking in Home-based Rehabilitation
International Journal of Robotics Research
Practical motion capture in everyday surroundings
ACM SIGGRAPH 2007 papers
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Accelerometer-based user interfaces for the control of a physically simulated character
ACM SIGGRAPH Asia 2008 papers
Dealing with sensor displacement in motion-based onbody activity recognition systems
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Metrics for 3D Rotations: Comparison and Analysis
Journal of Mathematical Imaging and Vision
Relative pose calibration of a spherical camera and an IMU
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Action capture with accelerometers
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Nonparametric density estimation for human pose tracking
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
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In this paper, we introduce a novel framework for automatically evaluating the quality of 3D tracking results obtained from markerless motion capturing. In our approach, we use additional inertial sensors to generate suitable reference information. In contrast to previously used marker-based evaluation schemes, inertial sensors are inexpensive, easy to operate, and impose comparatively weak additional constraints on the overall recording setup with regard to location, recording volume, and illumination. On the downside, acceleration and rate of turn data as obtained from such inertial systems turn out to be unsuitable representations for tracking evaluation. As our main contribution, we show how tracking results can be analyzed and evaluated on the basis of suitable limb orientations, which can be derived from 3D tracking results as well as from enhanced inertial sensors fixed on these limbs. Our experiments on various motion sequences of different complexity demonstrate that such limb orientations constitute a suitable mid-level representation for robustly detecting most of the tracking errors. In particular, our evaluation approach reveals also misconfigurations and twists of the limbs that can hardly be detected from traditional evaluation metrics.